Run
21938

Run 21938

Task 37 (Supervised Classification) diabetes Uploaded 21-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomTree(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomTree(1)_I160
weka.AdaBoostM1_RandomTree(1)_P100
weka.AdaBoostM1_RandomTree(1)_S1
weka.AdaBoostM1_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.6551
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6863
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.31
Cross-validation details (10-fold Crossvalidation)
KB relative information score
215.9197
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3138
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6865
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6862
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.6862
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6904
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5602
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1753
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
925.9152[553.72717053728951005.7176405886515423.3997706415627903.01071657967621743.72061647895]